Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 3 Next »

This workshop will take place Monday to Friday (April 19th to 23rd) 2021 on Zoom.

Speakers:
Phillip Crout (University of Cambridge)
Magnus Nord NTNU, Norway)
Francisco de la Peña (University of Lille)
Eric Prestat (University of Manchester- SuperSTEM)
Timothy Poon (Diamond Light Source)
Thomas Slater (ePSIC - Diamond Light Source)

Agenda

Installation guide- Conda installation

Having the installation done through this route allows you to have these packages updated independent of each other, in case there is a new release in future. The bundle install is a more rigid package but is guaranteed to work in one step, so it is simpler.

Please follow the steps below for the installation:

  • Install Python 3.7 from Anaconda

  • Open an Anaconda Prompt Terminal and create a new environment by running: 

    conda create --name hyperspy_env python=3.7

  • Activate the above environment by:

    WINDOWS: activate hyperspy_env
LINUX, macOS: source activate hyperspy_env

  • Install the packages by running the following commands:

    conda install hyperspy -c conda-forge
conda install -c conda-forge pyxem
conda install -c conda-forge atomap
conda install -c conda-forge particlespy
conda install -c conda-forge jupyterlab
conda install -c conda-forge ipympl
python -m ipykernel install --user --name=hyperspy_env

To test your installation, from the same prompt, run:

jupyter lab

This would open a Jupyter Lab launcher in your web browser. Under Notebook select Python 3 button to open a new notebook. Copy this code to the first cell and run (press shift + enter). If the installation is correct you should not get any error messages.

%matplotlib qt5
import hyperspy.api as hs
import pyxem as pxm
import atomap.api as am
import ParticleSpy.api as ps

Workshop Notebooks and Presentations

We will gradually make the Jupyter Lab notebooks, example datasets and presentations available here for download.

Notebooks and Presentations

HyperSpy Talk

getting started

notebook:

talk:

Introduction to Data Analysis

talk:

Curve Fitting

notebook

Machine Learning

Big Data & Lazy Signals

EELS Analysis

EDX Data Analysis

PyXem

ParticleSpy

HyperSpy Community

talk

Online Resources

HyperSpy webpage - HyperSpy Demos

HyperSpy Gitter chat

Atomap

PyXem - PyXem Demos

ParticleSpy

  • No labels